A new classifier algorithm based on Multilayer Perceptron Neural Network (MPNN), Apriori association rules, and Particle Swarm Optimization (PSO) models is proposed. It provides a comprehensive analytic method for establishing an Artificial Neural Network (ANN) with self-organizing architecture by finding an optimal number of hidden layers and their neurons, less number of effective features of...

Laryngealizations are irregular voiced portions of speech, which can have morphosyntactic functions and can disturb the automatic computation of F0. Two methods for the automatic detection of laryngealizations are described in this paper: With a Gaussian classifier using spectral and cepstral features a recognition rate of 80% (false alarm rate of 8%) could be achieved. As an alternative a “non...

This paper presents the use of ANN as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation, external fault and internal fault currents. The Back Propagation Neural Network Algorithm and Genetic Algorithm are used to train the multi-layered feed forward neural network and simulated results are comp...

In speaker diarization, the speech/voice activity detection is performed to separate speech, non-speech and silent frames. Zero crossing rate and root mean square value of frames of audio clips has been used to select training data for silent, speech and non-speech models. The trained models are used by two classifiers, Gaussian mixture model (GMM) and Artificial neural network (ANN), to classi...

ii iii iv ABSTRACT The field of digital image processing is continually evolving. Nowadays, there is a significant increase in the level of interest in image morphology, neural networks, full-color image processing, image data compression and image recognition. This work deals with image recognition with the application of face recognition. Some people think that face recognition is an easy tas...

Improvement in remote sensing techniques in spatial/spectral resolution strengthens their applicability for urban environmental study. Unfortunately, high spatial resolution imagery also increases internal variability in land cover units and can cause a ‘salt-and-pepper’ effect, resulting in decreased accuracy using pixel-based classification results. Region-based classification techniques, usi...

With the rapid development of Internet, e-mail has become effective means of communication to share information. Through e-mail, we can send text messages, images, audio and video clips across the world within a fraction of time. In recent years, e-mail users are facing problem due to spam e-mails. Spam e-mails are unsolicited commercial/bulk e-mails sent by spammers. There are many serious pro...

In medical literature, the detecting of post-operative patient status is very important topic. In this paper, An Automatic System based Linear Discriminant Analysis (LDA) and Artificial Neural Network (ANN) for Detecting of Postoperative Patient Status (A_LDA_ANN_DPPS) is introduced. This automatic system consists of three stages, which are feature extraction and feature reduction stage, classi...

This paper describes a conceptual intelligent design system, which chiefly consists of a searching mechanism and a classifier. The searching mechanism is based on genetic algorithm (GA) to search for various evolved types of clothing combinations, and the classifier is constructed through learning and knowledge acquisition by an artificial neural network (ANN) to play a roll of evaluation mecha...

Unconventional shale reservoirs as the result of extremely low matrix permeability, higher potential gas productivity requires not only sufficient gas-in-place, but also a high concentration of brittle minerals (silica and/or carbonate) that is amenable to hydraulic fracturing. Shale lithofacies is primarily defined by mineral composition and organic matter richness, and its representation as a...